{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/Users/xpmiki/Dropbox/esaiasson/replicationData/e25r.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}10 Sep 2016, 00:58:09
{txt}
{com}. clear 
{txt}
{com}. set more off
{txt}
{com}. use "charity field1.dta" 
{txt}
{com}. 
. gen t = .
{txt}(614 missing values generated)

{com}. replace t = 5 if beslutsform == 1
{txt}(67 real changes made)

{com}. replace t = 5 if beslutsform == 2
{txt}(61 real changes made)

{com}. replace t = 0 if beslutsform == 3
{txt}(54 real changes made)

{com}. replace t = 1 if beslutsform == 4
{txt}(59 real changes made)

{com}. replace t = 5 if beslutsform == 5
{txt}(71 real changes made)

{com}. replace t = 5 if beslutsform == 6
{txt}(75 real changes made)

{com}. replace t = 5 if beslutsform == 7
{txt}(68 real changes made)

{com}. replace t = 5 if beslutsform == 8
{txt}(68 real changes made)

{com}. replace t = 5 if beslutsform == 9
{txt}(82 real changes made)

{com}. 
. drop if t == 5
{txt}(492 observations deleted)

{com}. 
. set seed  358395
{txt}
{com}. sem (d2 <-  t  wl p)(p <-  t  wl)   , vce(cluster klassnummer)
{res}{txt}(2 observations with missing values excluded)

Endogenous variables

{p 0 11 2}Observed:{space 2}{res}d2 p{p_end}
{txt}
Exogenous variables

{p 0 11 2}Observed:{space 2}{res}t wl{p_end}
{txt}
Fitting target model:

Iteration 0:{space 3}log pseudolikelihood = {res:-141.66794}  
Iteration 1:{space 3}log pseudolikelihood = {res:-141.66794}  

Structural equation model{col 49}Number of obs{col 67}= {res}       111
{col 1}{txt}Estimation method{col 20}= {res}ml
{col 1}{txt}Log pseudolikelihood{col 20}= {res}-141.66794

{txt}{ralign 78:(Std. Err. adjusted for {res:6} clusters in klassnummer)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Structural  {col 14}{txt}{c |}
{space 2}{col 3}d2 <-     {col 14}{c |}
{space 11}p {c |}{col 14}{res}{space 2} .3282789{col 26}{space 2}  .050504{col 37}{space 1}    6.50{col 46}{space 3}0.000{col 54}{space 4} .2292929{col 67}{space 3} .4272648
{txt}{space 11}t {c |}{col 14}{res}{space 2} .1022575{col 26}{space 2} .0260048{col 37}{space 1}    3.93{col 46}{space 3}0.000{col 54}{space 4} .0512891{col 67}{space 3} .1532259
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .1204182{col 26}{space 2} .0647082{col 37}{space 1}    1.86{col 46}{space 3}0.063{col 54}{space 4}-.0064076{col 67}{space 3} .2472441
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .4948132{col 26}{space 2} .0435309{col 37}{space 1}   11.37{col 46}{space 3}0.000{col 54}{space 4} .4094942{col 67}{space 3} .5801322
{space 2}{txt}{hline 11}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}p <-      {col 14}{c |}
{space 11}t {c |}{col 14}{res}{space 2}-.1043241{col 26}{space 2} .0762848{col 37}{space 1}   -1.37{col 46}{space 3}0.171{col 54}{space 4}-.2538397{col 67}{space 3} .0451915
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .1508865{col 26}{space 2}  .055771{col 37}{space 1}    2.71{col 46}{space 3}0.007{col 54}{space 4} .0415775{col 67}{space 3} .2601956
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .6488245{col 26}{space 2} .0628754{col 37}{space 1}   10.32{col 46}{space 3}0.000{col 54}{space 4}  .525591{col 67}{space 3}  .772058
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    var(e.d2){c |}{col 14}{res}{space 2} .0336341{col 26}{space 2} .0098673{col 54}{space 4}  .018926{col 67}{space 3} .0597722
{txt}     var(e.p){c |}{col 14}{res}{space 2} .0757602{col 26}{space 2} .0075854{col 54}{space 4} .0622609{col 67}{space 3} .0921864
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estat ic

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}       111{col 27}        .{col 38}-141.6679{col 49}     5{col 58} 293.3359{col 69} 306.8835
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. estat teffects 
{res}

{txt}Direct effects
{res}{txt}{ralign 78:(Std. Err. adjusted for {res:6} clusters in klassnummer)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Structural  {col 14}{txt}{c |}
{space 2}{col 3}d2 <-     {col 14}{c |}
{space 11}p {c |}{col 14}{res}{space 2} .3282789{col 26}{space 2}  .050504{col 37}{space 1}    6.50{col 46}{space 3}0.000{col 54}{space 4} .2292929{col 67}{space 3} .4272648
{txt}{space 11}t {c |}{col 14}{res}{space 2} .1022575{col 26}{space 2} .0260048{col 37}{space 1}    3.93{col 46}{space 3}0.000{col 54}{space 4} .0512891{col 67}{space 3} .1532259
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .1204182{col 26}{space 2} .0647082{col 37}{space 1}    1.86{col 46}{space 3}0.063{col 54}{space 4}-.0064076{col 67}{space 3} .2472441
{space 2}{txt}{hline 11}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}p <-      {col 14}{c |}
{space 11}t {c |}{col 14}{res}{space 2}-.1043241{col 26}{space 2} .0762848{col 37}{space 1}   -1.37{col 46}{space 3}0.171{col 54}{space 4}-.2538397{col 67}{space 3} .0451915
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .1508865{col 26}{space 2}  .055771{col 37}{space 1}    2.71{col 46}{space 3}0.007{col 54}{space 4} .0415775{col 67}{space 3} .2601956
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}


Indirect effects
{res}{txt}{ralign 78:(Std. Err. adjusted for {res:6} clusters in klassnummer)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Structural  {col 14}{txt}{c |}
{space 2}{col 3}d2 <-     {col 14}{c |}
{space 11}p {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (no path)
{space 11}t {c |}{col 14}{res}{space 2}-.0342474{col 26}{space 2} .0258862{col 37}{space 1}   -1.32{col 46}{space 3}0.186{col 54}{space 4}-.0849834{col 67}{space 3} .0164886
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .0495329{col 26}{space 2} .0183838{col 37}{space 1}    2.69{col 46}{space 3}0.007{col 54}{space 4} .0135013{col 67}{space 3} .0855645
{space 2}{txt}{hline 11}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}p <-      {col 14}{c |}
{space 11}t {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (no path)
{space 10}wl {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (no path)
{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}


Total effects
{res}{txt}{ralign 78:(Std. Err. adjusted for {res:6} clusters in klassnummer)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Structural  {col 14}{txt}{c |}
{space 2}{col 3}d2 <-     {col 14}{c |}
{space 11}p {c |}{col 14}{res}{space 2} .3282789{col 26}{space 2}  .050504{col 37}{space 1}    6.50{col 46}{space 3}0.000{col 54}{space 4} .2292929{col 67}{space 3} .4272648
{txt}{space 11}t {c |}{col 14}{res}{space 2} .0680101{col 26}{space 2} .0172197{col 37}{space 1}    3.95{col 46}{space 3}0.000{col 54}{space 4}   .03426{col 67}{space 3} .1017601
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .1699511{col 26}{space 2} .0528794{col 37}{space 1}    3.21{col 46}{space 3}0.001{col 54}{space 4} .0663094{col 67}{space 3} .2735928
{space 2}{txt}{hline 11}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}p <-      {col 14}{c |}
{space 11}t {c |}{col 14}{res}{space 2}-.1043241{col 26}{space 2} .0762848{col 37}{space 1}   -1.37{col 46}{space 3}0.171{col 54}{space 4}-.2538397{col 67}{space 3} .0451915
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .1508865{col 26}{space 2}  .055771{col 37}{space 1}    2.71{col 46}{space 3}0.007{col 54}{space 4} .0415775{col 67}{space 3} .2601956
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *** indirect and direct - winning/losing
. cap program drop indireff
{txt}
{com}. program indireff, rclass
{txt}  1{com}. sem (d2 <-  t  wl p)(p <-  t  wl)   , vce(cluster klassnummer)
{txt}  2{com}.   estat teffects
{txt}  3{com}.   mat bi = r(indirect)
{txt}  4{com}.   mat bt = r(total)
{txt}  5{com}.   return scalar indir  = el(bi,1,3)
{txt}  6{com}.   return scalar total  = el(bt,1,3)
{txt}  7{com}. end 
{txt}
{com}. 
. set seed 358395
{txt}
{com}. bootstrap r(indir) r(total), reps(1000): indireff
{txt}(running indireff on estimation sample)

Bootstrap replications ({res}1000{txt})
{hline 4}{c +}{hline 3} 1 {hline 3}{c +}{hline 3} 2 {hline 3}{c +}{hline 3} 3 {hline 3}{c +}{hline 3} 4 {hline 3}{c +}{hline 3} 5 
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{res}
{txt}Bootstrap results{col 49}Number of obs{col 67}= {res}       111
{txt}{col 49}Replications{col 67}= {res}     1,000
{p2colset 7 17 21 2}{...}

{txt}{p2col :command:}indireff{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_1:}{res:r(indir)}{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_2:}{res:r(total)}{p_end}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}   Observed{col 26}   Bootstrap{col 54}         Norm{col 67}al-based
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}_bs_1 {c |}{col 14}{res}{space 2} .0495329{col 26}{space 2} .0242015{col 37}{space 1}    2.05{col 46}{space 3}0.041{col 54}{space 4} .0020989{col 67}{space 3} .0969668
{txt}{space 7}_bs_2 {c |}{col 14}{res}{space 2} .1699511{col 26}{space 2}  .043752{col 37}{space 1}    3.88{col 46}{space 3}0.000{col 54}{space 4} .0841988{col 67}{space 3} .2557034
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estat bootstrap, percentile bc  

{txt}Bootstrap results{col 49}Number of obs{col 67}= {res}       111
{txt}{col 49}Replications{col 67}= {res}      1000
{p2colset 7 17 21 2}{...}

{txt}{p2col :command:}indireff{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_1:}{res:r(indir)}{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_2:}{res:r(total)}{p_end}

{col 1}{text}{hline 13}{c TT}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 14}{text}{c |}    Observed{col 38}    Bootstrap
{col 14}{text}{c |}       Coef.{col 27}       Bias{col 38}    Std. Err.{col 51}  [95% Conf. Interval]
{col 1}{text}{hline 13}{c +}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 1}{text}       _bs_1{col 14}{c |}{result}{space 2} .04953287{col 27}{space 2} .0000765{col 38}{space 2} .02420146{col 51}{space 2} .0099494{col 63}{space 1} .1030489{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2} .0134608{col 63}{space 1} .1119811{col 73}{text}  (BC)
{col 1}{text}       _bs_2{col 14}{c |}{result}{space 2}  .1699511{col 27}{space 2}-.0007694{col 38}{space 2} .04375199{col 51}{space 2} .0869706{col 63}{space 1} .2559672{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2}  .086825{col 63}{space 1} .2557089{col 73}{text}  (BC)
{col 1}{text}{hline 13}{c BT}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 0}(P){col 8}percentile confidence interval
{col 0}(BC){col 8}bias-corrected confidence interval

{com}. 
. *** indirect and direct - treatment
. cap program drop indireff
{txt}
{com}. program indireff, rclass
{txt}  1{com}. sem (d2 <- wl  t  p)(p <- wl  t )    , vce(cluster klassnummer)
{txt}  2{com}.   estat teffects
{txt}  3{com}.   mat bi = r(indirect)
{txt}  4{com}.   mat bt = r(total)
{txt}  5{com}.   return scalar indirect  = el(bi,1,3)
{txt}  6{com}.   return scalar total  = el(bt,1,3)
{txt}  7{com}. end
{txt}
{com}. 
. set seed 358395
{txt}
{com}. bootstrap r(indirect) r(total), reps(1000): indireff
{txt}(running indireff on estimation sample)

Bootstrap replications ({res}1000{txt})
{hline 4}{c +}{hline 3} 1 {hline 3}{c +}{hline 3} 2 {hline 3}{c +}{hline 3} 3 {hline 3}{c +}{hline 3} 4 {hline 3}{c +}{hline 3} 5 
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{res}
{txt}Bootstrap results{col 49}Number of obs{col 67}= {res}       111
{txt}{col 49}Replications{col 67}= {res}     1,000
{p2colset 7 17 21 2}{...}

{txt}{p2col :command:}indireff{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_1:}{res:r(indirect)}{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_2:}{res:r(total)}{p_end}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}   Observed{col 26}   Bootstrap{col 54}         Norm{col 67}al-based
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}_bs_1 {c |}{col 14}{res}{space 2}-.0342474{col 26}{space 2}  .019236{col 37}{space 1}   -1.78{col 46}{space 3}0.075{col 54}{space 4}-.0719493{col 67}{space 3} .0034545
{txt}{space 7}_bs_2 {c |}{col 14}{res}{space 2} .0680101{col 26}{space 2} .0396343{col 37}{space 1}    1.72{col 46}{space 3}0.086{col 54}{space 4}-.0096718{col 67}{space 3} .1456919
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estat bootstrap, percentile bc  

{txt}Bootstrap results{col 49}Number of obs{col 67}= {res}       111
{txt}{col 49}Replications{col 67}= {res}      1000
{p2colset 7 17 21 2}{...}

{txt}{p2col :command:}indireff{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_1:}{res:r(indirect)}{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_2:}{res:r(total)}{p_end}

{col 1}{text}{hline 13}{c TT}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 14}{text}{c |}    Observed{col 38}    Bootstrap
{col 14}{text}{c |}       Coef.{col 27}       Bias{col 38}    Std. Err.{col 51}  [95% Conf. Interval]
{col 1}{text}{hline 13}{c +}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 1}{text}       _bs_1{col 14}{c |}{result}{space 2} -.0342474{col 27}{space 2} .0005051{col 38}{space 2}   .019236{col 51}{space 2}-.0737922{col 63}{space 1}-.0018988{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2}-.0831906{col 63}{space 1}-.0040947{col 73}{text}  (BC)
{col 1}{text}       _bs_2{col 14}{c |}{result}{space 2} .06801007{col 27}{space 2} .0005154{col 38}{space 2} .03963432{col 51}{space 2}-.0067314{col 63}{space 1} .1493388{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2} -.004373{col 63}{space 1} .1520021{col 73}{text}  (BC)
{col 1}{text}{hline 13}{c BT}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 0}(P){col 8}percentile confidence interval
{col 0}(BC){col 8}bias-corrected confidence interval

{com}. 
. *** randomization check
. reg  t  gender interest ideology , robust

{txt}Linear regression                               Number of obs     = {res}       106
                                                {txt}F(3, 102)         =  {res}     2.98
                                                {txt}Prob > F          = {res}    0.0348
                                                {txt}R-squared         = {res}    0.0759
                                                {txt}Root MSE          =    {res} .48965

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}           t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}gender {c |}{col 14}{res}{space 2}-.3048202{col 26}{space 2} .1037656{col 37}{space 1}   -2.94{col 46}{space 3}0.004{col 54}{space 4}-.5106387{col 67}{space 3}-.0990017
{txt}{space 4}interest {c |}{col 14}{res}{space 2}-.0145669{col 26}{space 2}  .174288{col 37}{space 1}   -0.08{col 46}{space 3}0.934{col 54}{space 4}-.3602663{col 67}{space 3} .3311324
{txt}{space 4}ideology {c |}{col 14}{res}{space 2} .0094338{col 26}{space 2} .2471645{col 37}{space 1}    0.04{col 46}{space 3}0.970{col 54}{space 4}-.4808158{col 67}{space 3} .4996834
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .6100111{col 26}{space 2} .1492804{col 37}{space 1}    4.09{col 46}{space 3}0.000{col 54}{space 4} .3139141{col 67}{space 3}  .906108
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}/Users/xpmiki/Dropbox/esaiasson/replicationData/e25r.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}10 Sep 2016, 00:59:52
{txt}{.-}
{smcl}
{txt}{sf}{ul off}